National Technology Day has long symbolised India’s scientific ambition. However, in 2026, its importance transcends mere remembrance. To CIOs, corporate leadership, and policymakers, it represents an occasion to contemplate a greater shift taking place in India’s transition from digitalisation to technological strength.
India’s journey with technology can be broken down into two stages. The first stage involved India acquiring and scaling technology usage. In the past ten years, digital infrastructure for public purposes has brought about a revolution in financial inclusion, governance, and service provision. India’s technology sector is expected to achieve a valuation of $315 billion by FY26.
According to the EY-CII report for 2026, almost 40% of Indian firms state that they have either significant or full AI adoption within their businesses, which is higher than the global average, indicating a trend towards moving beyond piloting AI and implementing it throughout the organisation.
India’s digital payments ecosystem remains one of the clearest examples of this transformation. Narendra Babu, Chief Technology Officer, PayU, believes that India’s digital payments ecosystem stands as a powerful example of this transformation. He also stated that the success of the next phase of transformation will be determined by how seamlessly we enable the next 300–500 million users to come online.
“Digital transformation is not just about scale anymore; it is about empowering every individual and enterprise to participate in the economy with confidence. ”, says Narendra Babu.
According to Mr Swapnil Deosthali, Head – Digital Industries, Siemens Limited, the coming decade could be shaped by the convergence of industrial AI, digital twins, and IT/OT systems, enabling real-time, data-driven decisions across manufacturing, mobility, energy, and urban infrastructure. Unlike the IT revolution that digitised information, he believes the next wave will increasingly “digitalise outcomes”, productivity, sustainability, resilience, and efficiency.
“India’s opportunity lies in applying intelligence to real-world industrial challenges at scale. This shift is already becoming visible across critical infrastructure”, states Deosthali.
Santadyuti Samanta, Leader of Product and Solution Management, Kimbal Private Limited, points to the ongoing transformation in India’s power sector, where initiatives such as the National Smart Grid Mission are creating a more resilient and connected energy ecosystem. Smart metering and edge intelligence, he notes, are helping make energy management more efficient and accessible across both urban and rural India. His larger point is equally important: technology delivers its deepest value when designed with purpose and meaningful societal impact.
“Artificial Intelligence sits at the centre of this broader transformation. Yet, as adoption accelerates, the enterprise conversation is becoming more nuanced”, highlights Samanta.
For Dr Amit Sheth, Founding Director, Indian AI Research Organization (IAIRO), and Professor of Computer Science & Engineering, University of South Carolina, India’s AI opportunity cannot be measured only through model size or market projections. Instead, he argues, India should focus on building compact, multilingual, domain-specific AI systems designed for real-world complexity across agriculture, healthcare, climate resilience, governance, education, and enterprise systems. The larger goal, he suggests, should be to expand capability and reduce inequality through trustworthy and practical AI. That perspective becomes especially relevant as technology systems become increasingly autonomous.
"Models that can reason over structured knowledge, work with limited compute, operate in multilingual environments, and deliver reliability where it matters most", outlines Sheth.
Ms Sandhya Arun, Chief Technology Officer, Wipro, believes rising technology autonomy makes human accountability more important than ever. While intelligent systems may scale operations, she argues that explainability, safety, ethical guardrails, and human oversight must remain central to enterprise technology design. Equally important, architects of technology should reflect diversity to ensure solutions remain equitable.
“Guardrails must be embedded into all platforms, solutions, and delivery processes by proactive design and not as an afterthought.”, states Arun.
According to Nalin Agrawal, Director – Solutions Engineering, Dynatrace, India’s digital ambitions are increasingly dependent on resilient, intelligent systems capable of operating at scale. As enterprises navigate growing complexity across hybrid and multi-cloud environments, organisations are beginning to transition from traditional human-led operations toward AI-assisted and autonomous systems. In such an environment, observability is becoming business-critical, enabling enterprises to detect, diagnose, and resolve issues in real time.
“With digital adoption at scale, driven by UPI-level volumes, digital public infrastructure, and cloud-first strategies, manual approaches can no longer keep pace. Organisations must move towards AI-driven, self-healing systems that detect, diagnose, and resolve issues in real time. ”, says Agrawal.
Anuj Garg, Head of Engineering, ZebPay, sees blockchain steadily evolving into a foundational layer for trust, transparency, and financial innovation. While often associated with digital assets, blockchain adoption is gradually expanding across healthcare, supply chains, decentralised identity, and governance areas where secure, verifiable systems are increasingly valuable. Yet, moving from experimentation to scale will require stronger digital foundations ,
"Enterprises are increasingly building and scaling next-generation digital solutions from India for global markets, reinforcing the country’s position at the forefront of digital transformation", says Garg.
According to Arijit Bonnerjee, Senior Vice President & Head – India Region, Tata Communications, many enterprise AI initiatives struggle because fragmented legacy systems limit their ability to scale. He argues that trusted infrastructure bringing together cloud, networks, cybersecurity, compliance, and visibility will determine whether organisations can move beyond AI pilots toward measurable business outcomes. Importantly, he also sees technology responsibility extending into sustainability, where AI and IoT-enabled systems can support lower-carbon, more efficient operations.
“At the same time, the broader success of India’s technology ambitions may ultimately depend on how deeply innovation reaches beyond enterprises and urban centres”, highlights Bonnerjee.
Rajesh Shirole, Co-Founder & COO, MapMyCrop, points to the growing use of AI, satellite imagery, and real-time advisory systems in agriculture, helping farmers make more informed decisions around crop health, weather variability, and productivity. He emphasised ensuring these AI capabilities translate into meaningful outcomes at the grassroots, where decisions are made every day in the fields.
“Technology becomes transformative only when intelligence reaches the grassroots and improves everyday decision-making”, highlights Shirole.
Vinay Sinha, Managing Director, India Sales, AMD, highlighted that India is well positioned to benefit from the next wave of AI growth, backed by its strong talent base and expanding digital infrastructure. However, he pointed to two critical factors that will make AI more accessible and inclusive. First, enterprises need to use the right computing architecture for the right workload, as not every AI application requires GPU-heavy infrastructure.
"A balanced mix of CPUs, GPUs, FPGAs, and adaptive computing solutions, he noted, is essential for improving cost efficiency and sustainability" outlines Sinha.
The Theme of National Technology Day 2026, observed today: “Innovate responsibly for inclusive growth”. The theme emphasises the use of indigenous technology and Artificial Intelligence to create a balanced development for the country, such that any progress made in technology related to AI, space, and defence reaches all sections of society.
Not merely celebrating breakthrough technologies, but asking whether India can build systems that are intelligent, trusted, inclusive, resilient, and deeply relevant to real-world needs.
Because the next phase of India’s technology story will not simply be about innovation. It will be about how responsibly and meaningfully innovation shapes enterprise resilience, societal progress, and national capability.
